概述
In [1]: from pattern.en import singularize
In [2]: singularize('patterns')
Out[2]: 'pattern'
In [3]: singularize('gases')
Out[3]: 'gase'我通过定义来解决第二个例子中的问题
def my_singularize(strn):
'''
Return the singular of a noun. Add special cases to correct pattern generic rules.
'''
exceptionDict = {'gases':'gas','spectra':'spectrum','cross':'cross','nuclei':'nucleus'}
try:
return exceptionDict[strn]
except:
return singularize(strn)有没有更好的方法来做到这一点,例如添加到模式的规则,或使exceptionDict以某种方式内部模式？
from nltk.stem import WordNetLemmatizer wnl = WordNetLemmatizer() test_words = ['gases','spectrum','cross','nuclei'] %timeit [wnl.lemmatize(wrd) for wrd in test_words] 10000 loops,best of 3: 60.5 µs per loop
与你的功能相比
%timeit [my_singularize(wrd) for wrd in test_words] 1000 loops,best of 3: 162 µs per loop
nltk lemmatizing表现更好.
总结
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